Relevant bibliographies by topics / Soybean disease

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Soybean disease'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Soybean disease"

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Kleczewski, Nathan M. "Prevalence and Cropping System Impacts on Soybean Vein Necrosis Disease in Delaware Soybeans." Plant Health Progress 19, no. 1 (2018): 11–12. http://dx.doi.org/10.1094/php-09-17-0055-br.

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Soybean vein necrosis disease (SVN) is the most widespread virus of soybeans in the United States. This thrip-vetcored virus can cause foliar chlorosis and necrosis, and it can reduce soybean oil content, which may impact producers of high-oleic acid soybeans in the mid-Atlantic. The prevalence of SVN in Delaware is unknown. In addition, we hypothesized that cropping system (i.e., full-season versus double-cropped) beans may differ in SVN, likely owing to duration of exposure to viruliferous thrips. SVN incidence was assessed in 88 soybean fields (48 full season, 40 double crop following small
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Zatybekov, A. K., Y. T. Turuspekov, B. N. Doszhanova, and S. I. Abugalieva. "A study of the genetic diversity in the world soybean collection using microsatellite markers associated with fungal disease resistance." Proceedings on applied botany, genetics and breeding 181, no. 3 (2020): 81–90. http://dx.doi.org/10.30901/2227-8834-2020-3-81-90.

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Background. Soybean (Glycine max (L.) Merr.) gradually becomes one of the leading legume crops in Kazakhstan. The area under soybeans in the country has been increasing annually and requires the development of adapted cultivars with a higher yield, improved quality characters, and resistance to emerging fungal diseases. The enlargement of the crop’s gene pool also suggests the need to study and document local soybean accessions to meet the standards of the available world soybean collection by using reliable and informative types of DNA markers.Materials and methods. In this study, the soybean
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Abbas, Hamed K., Nacer Bellaloui, Cesare Accinelli, James R. Smith, and W. Thomas Shier. "Toxin Production in Soybean (Glycine max L.) Plants with Charcoal Rot Disease and by Macrophomina phaseolina, the Fungus that Causes the Disease." Toxins 11, no. 11 (2019): 645. http://dx.doi.org/10.3390/toxins11110645.

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Charcoal rot disease, caused by the fungus Macrophomina phaseolina, results in major economic losses in soybean production in southern USA. M. phaseolina has been proposed to use the toxin (-)-botryodiplodin in its root infection mechanism to create a necrotic zone in root tissue through which fungal hyphae can readily enter the plant. The majority (51.4%) of M. phaseolina isolates from plants with charcoal rot disease produced a wide range of (-)-botryodiplodin concentrations in a culture medium (0.14–6.11 µg/mL), 37.8% produced traces below the limit of quantification (0.01 µg/mL), and 10.8%
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Wrather, J. A., T. R. Anderson, D. M. Arsyad, et al. "Soybean Disease Loss Estimates for the Top 10 Soybean Producing Countries in 1994." Plant Disease 81, no. 1 (1997): 107–10. http://dx.doi.org/10.1094/pdis.1997.81.1.107.

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Soybean disease loss estimates were compiled for the 1994 harvested crop from the 10 countries with the greatest soybean production. The objective was to document the major soybean disease problems in these countries and any recent changes in the severity of individual soybean diseases. Total yield losses caused by Heterodera glycines in these 10 countries were greater than those caused by any other disease. Next in order of importance were stem canker, brown spot, and charcoal rot. The total yield loss due to disease during 1994 in these countries was 14.99 million metric tons, valued at $3.3
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Budi, Gayuh Prasetyo, and Teguh Pribadi. "Pengaruh Pemberian Agens Hayati Terhadap Intensitas Penyakit Karat Beberapa Varietas Kedelai Hitam." Daun: Jurnal Ilmiah Pertanian dan Kehutanan 7, no. 2 (2020): 117–25. http://dx.doi.org/10.33084/daun.v7i2.2011.

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Black soybean (G. max (L.) Merr.) is an important food crop and has a high nutritional content. Demand for this commodity is increasing. National soybean demand in 2015 about 2.6 million tons but domestic production only 982,967 tons. One of the obstacles to increasing black soybean production is Asian soybean rust disease caused by P. pachyrhizi. The susceptibility of black soybean to rust makes the farmers often use chemical fungicides to control it. Alternative control of rust leaves that suitable for the environment is through the selection of more resistant varieties of rust and the appli
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Sanogo, S., X. B. Yang, and P. Lundeen. "Field Response of Glyphosate-Tolerant Soybean to Herbicides and Sudden Death Syndrome." Plant Disease 85, no. 7 (2001): 773–79. http://dx.doi.org/10.1094/pdis.2001.85.7.773.

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Three-year field experiments were conducted to assess the development of sudden death syndrome (caused by Fusarium solani f. sp. glycines) in three soybean cultivars, tolerant (P9344 and A3071) and nontolerant (BSR101), to glyphosate following foliar application of four herbicides (acifluorfen, glyphosate, imazethapyr, and lactofen) commonly applied to soybeans in the north-central region of the United States. Cultivar A3071 is resistant to sudden death syndrome, whereas cultivars P9344 and BSR101 are susceptible to this disease. There was no statistically significant cultivar-herbicide intera
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Acharya, Jyotsna, Thomas B. Moorman, Thomas C. Kaspar, Andrew W. Lenssen, and Alison E. Robertson. "Cover Crop Rotation Effects on Growth and Development, Seedling Disease, and Yield of Corn and Soybean." Plant Disease 104, no. 3 (2020): 677–87. http://dx.doi.org/10.1094/pdis-09-19-1904-re.

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The effects of winter cover crops on root disease and growth of corn and soybeans are poorly understood. A 3-year field experiment investigated the effect of winter cereal rye (Secale cereale L.) and winter camelina (Camelina sativa [L.] Crantz), used either in all three years or in rotation with each other, on corn (Zea mays L.) and soybean (Glycine max. [L.] Merr.) growth, root disease, and yield. Corn following a cover crop of camelina had reduced root disease, a lower Pythium population in seedling roots, and greater growth and yields compared with corn following a rye cover crop. Camelina
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Jadhav, Sachin Balkrishna, and Sanjay B. Patil. "Grading of Soybean Leaf Disease Based on Segmented Image Using K-means Clustering." IAES International Journal of Artificial Intelligence (IJ-AI) 5, no. 1 (2016): 13. http://dx.doi.org/10.11591/ijai.v5.i1.pp13-21.

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Traditional method used for disease scoring scale to grade the plant diseases is mainly based on neckaed eye observation by agriculture expert or plant pathlogiest. In this method percentage scale was exclusively used to define different disease severities in an illustrated series of disease assessment keys for field crops.The assessment of plant leaf diseases using this aaproach which may be subjective, time consuming and cost effective.Also aacurate grading of leaf diseases is essential to the determination of pest control measures. In order to improve this process, here we propose a techniq
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Young, Heather M., James J. Marois, David L. Wright, Dario F. Narváez, and G. Kelly O'Brien. "Epidemiology of Soybean Rust in Soybean Sentinel Plots in Florida." Plant Disease 95, no. 6 (2011): 744–50. http://dx.doi.org/10.1094/pdis-07-10-0552.

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Since its discovery in the southeastern United States in 2004, soybean rust (SBR) has been variable from year to year. Caused by Phakopsora pachyrhizi, SBR epidemics in Florida are important to understand, as they may serve as an inoculum source for other areas of the country. This study examined the first disease detection date, incidence, and severity of SBR in relation to environmental data, growth stage, and maturity group (MG3, MG5, MG7) in soybean sentinel plots (225 m2) across north Florida from 2005 through 2008. The majority (91%) of the initial infections were observed in MG5 and MG7
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Wrather, Allen, and Steve Koenning. "Effects of Diseases on Soybean Yields in the United States 1996 to 2007." Plant Health Progress 10, no. 1 (2009): 24. http://dx.doi.org/10.1094/php-2009-0401-01-rs.

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Research must focus on management of diseases that cause extensive losses, especially when funds for research are limited. Knowledge of yield suppression caused by various soybean diseases is essential when prioritizing research. The objective of this project was to compile estimates of soybean yield suppression due to diseases in the USA from 1996 to 2007. The goal was to provide information to help funding agencies and scientists prioritize research objectives and budgets. Yield suppression due to individual diseases varied among years. Soybean cyst nematode suppressed USA soybean yield more
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Dissertations / Theses on the topic "Soybean disease"

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Chen, Pengyin. "Genetics of reactions to soybean mosaic virus in soybean." Diss., Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/54781.

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The genetic interactions among 9 soybean [<i>Glycine max</i> (L.) Merr.] cultivars and 6 strains of soybean mosaic virus (SMV) were investigated. The objectives were to identify genes and/or alleles conditioning resistant and necrotic reactions to SMV and to determine the genetic relationships among resistance genes from cultivars exhibiting differential responses to the SMV strains. Seven SMV-resistant (R) cultivars (‘PI 486355’, ‘Suweon 97’, ‘PI 96983’, ‘Ogden’, ‘York’, ‘Marshall’, and ‘Kwanggyo’) were crossed in all combinations among each other and with susceptible (S) cultivars ‘Essex’
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Choi, Chang Won. "Soybean mosaic virus-soybean interactions : molecular, biochemical, physiological, and immunological analysis of resistance responses of soybean to soybean mosaic virus /." Diss., This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-07282008-134858/.

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Ma, Guorong. "Genetic analysis of soybean reactions to soybean mosaic virus." Diss., Virginia Tech, 1995. http://hdl.handle.net/10919/40253.

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The soybean [<i>Glycine max</i> (L.) Merr.] mosaic disease, caused by soybean mosaic virus (SMV), is one of the most important soybean diseases in many areas of the world. This research, conducted in four separate studies, was designed to identify and characterize new sources of genes for resistance to SMV and to investigate the interaction of soybean resistance genes and SMV strains.<br>Ph. D.
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Gunduz, Irfan. "Genetic Analysis of Soybean Mosaic Virus Resistance in Soybean." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/26439.

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This research was conducted to analyze the genetics of soybean mosaic virus (SMV) resistance in soybean [Glycine max (L.) Merr.] and to determine allelic relationships of SMV resistance genes and their interactions with SMV strain groups. In the first part of this study, the inheritance of SMV resistance in OX670 and 'Harosoy' was studied to determine the source and identity of the resistance gene/genes in OX670. Other researchers reported that OX670 possesses a single gene at a locus independent of Rsv1 and assigned the gene symbol Rsv2. Rsv2 was presumably derived from the cultivar 'Raiden'
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Menke, Ethan J. "Using spectral reflectance in soybean breeding: evaluating genotypes for soybean sudden death disease resistance and grain yield." Thesis, Kansas State University, 2017. http://hdl.handle.net/2097/38542.

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Master of Science<br>Department of Agronomy<br>William T. Schapaugh Jr<br>Sudden Death Syndrome (SDS) in soybean, (Glycine max ( L.) Merr.) caused by Fusarium virguliforme, is an increasing problem in commercial soybean production due to the yield loss associated with the disease. Screening for genetic resistance requires extensive visual evaluations. Canopy spectral reflectance may be an indirect tool for selection of SDS resistance as well as grain yield in large segregating populations. The objective of this study was to estimate SDS resistance and seed yield in large diverse soybean popula
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Hayes, Alec J. "Characterization of the soybean genome in regions surrounding two loci for resistance to soybean mosaic virus." Diss., Virginia Tech, 1998. http://hdl.handle.net/10919/11275.

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Soybean mosaic virus (SMV), has been the cause of numerous and often devastating disease epidemics, causing reduction in both the quality and quantity of soybeans worldwide. Two important genes for resistance to SMV are Rsv1 and Rsv4. Alleles at the Rsv1 locus have been shown to control resistance to all but the most virulent strain of SMV. This locus has been mapped previously to the soybean F linkage group. Rsv4 is an SMV resistance locus independent of Rsv1 and confers resistance to all strains of SMV. This locus has not been mapped previously. The purpose of this study is to investig
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Beruski, Gustavo Castilho. "Disease warning systems for rational management of Asian soybean rust in Brazil." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/11/11152/tde-25072018-163838/.

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The Asian soybean rust (ASR), caused by the fungus Phakopsora pachyrhizi, may promote significant damages in soybean crop. The disease is mainly controlled by sequential applications of fungicides following a calendarbased system. However, this practice disregards the weather favorability to recommend spraying to ASR control. The proposition of fungicide schemes to make the ASR control more efficient can be reached by the use of diseasewarning systems. Thus, the current study aimed to assess the performance of different disease-warning systems to determine better fungicide spraying schemes for
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Park, Dae-Sup. "Regulation of soybean disease resistance : proximal cell competency and distal cell potentiation /." The Ohio State University, 1998. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487953567770362.

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Mahmood, Hamida. "Computational mining for terminator-like genes in soybean." Thesis, Kansas State University, 2016. http://hdl.handle.net/2097/32724.

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Master of Science<br>Genetics Interdepartmental Program - Plant Pathology<br>Frank F. White<br>Sanzhen Liu<br>Plants and bacterial pathogens are in constant co-evolution to survive and sustain the next generation. Plants have two well-characterized levels of active defense -pathogens-associated molecular patterns (PAMPs)-triggered immunity (PTI) and effectors-triggered immunity (ETI). Some plants that are hosts for bacterial pathogens employing type three secretion system transcription activator-like (TAL) effectors have evolved a unique form of ETI, namely TAL effector-mediated ETI. TAL effec
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Yu, Yong Gang. "Molecular genetic analysis of host resistance to soybean mosaic virus." Diss., Virginia Tech, 1994. http://hdl.handle.net/10919/37253.

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Books on the topic "Soybean disease"

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Kalaitzandonakes, N., J. Kaufman, and K. Zahringer, eds. The economics of soybean disease control. CABI, 2019. http://dx.doi.org/10.1079/9781780648088.0000.

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United States. Congress. House. Committee on Agriculture. Subcommittee on Conservation, Credit, Rural Development, and Research. The economic impact of Asian soybean rust on the U.S. farm sector: Joint hearing before the Subcommittee on Conservation, Credit, Rural Development, and Research and the Subcommittee on General Farm Commodities and Risk Management of the Committee on Agriculture, House of Representatives, One Hundred Ninth Congress, first session, April 27, 2005. U.S. G.P.O., 2005.

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C, Chen F., Wei C. C, and Asian Vegetable Research and Development Center., eds. Bibliography of soybean rust, 1895-1986. Tropical Vegetable Information Service, The Asian Vegetable Research and Development Center, 1987.

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Panamerican Soybean Rust Workshop (2nd 2005 Buenos Aires, Argentina). Roya asiática de la soja en América: El libro. Estación Experimental Agroindustrial "Obispo Colombres", 2006.

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Roberts, Michael J. The Value of plant disease early-warning systems: A case study of USDA's soybean rust coordinated framework. USDA Economic Research Service, 2006.

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Challem, Jack. The health benefits of soy: How an ultra-nutrient offers protection against cancer and other disease conditions. Keats Pub., 1996.

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Gálvez, M. Roberto. Evaluación de la penetración del asperjado producido por diferentes boquillas en aplicaciones terrestres orientadas al control de la roya de la soja. Estación Experimental Agroindustrial "Obispo Colombres", 2005.

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Food, Ontario Ministry of Agriculture and. Virus diseases of soybeans. s.n, 1988.

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McGee, Denis C. Soybean diseases: A reference source for seed technologists. APS Press, 1992.

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Conference, on Pest Management in Soybean (1992 London England). Pest management in soybean. Published for SCI by Elsevier Applied Science, 1992.

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Book chapters on the topic "Soybean disease"

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Kalaitzandonakes, N., J. Kaufman, and K. Zahringer. "Soybean disease and production losses." In The economics of soybean disease control. CABI, 2019. http://dx.doi.org/10.1079/9781780648088.0013.

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Nishi, Kazufumi. "Present Situation of Soybean Disease Management in Japan." In Pest Management in Soybean. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2870-4_20.

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Backman, Paul A., and Barry J. Jacobsen. "Soybean Disease Management: Chemical and Biological Control in Temperate Regions." In Pest Management in Soybean. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2870-4_15.

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Hartman, G. L., and I. B. Sinclair. "Soybean Disease Management: Chemical and Biological Control in Tropical Regions." In Pest Management in Soybean. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2870-4_16.

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Kalaitzandonakes, N., J. Kaufman, and K. Zahringer. "Disease control methods and effectiveness." In The economics of soybean disease control. CABI, 2019. http://dx.doi.org/10.1079/9781780648088.0079.

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Weaver, David B., and Rodrigo Rodriguez-Kabana. "Disease Management in Soybean: Use of Cultural Techniques and Genetic Resistance." In Pest Management in Soybean. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2870-4_21.

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Snow, J. P., and G. T. Berggren. "Disease Management in Soybean: Use of Chemical Control and Application Technology." In Pest Management in Soybean. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2870-4_22.

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Kalaitzandonakes, N., J. Kaufman, and K. Zahringer. "Disease incidence, severity, and conditioning factors." In The economics of soybean disease control. CABI, 2019. http://dx.doi.org/10.1079/9781780648088.0036.

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Kalaitzandonakes, N., J. Kaufman, and K. Zahringer. "An economic framework of disease management." In The economics of soybean disease control. CABI, 2019. http://dx.doi.org/10.1079/9781780648088.0053.

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Kalaitzandonakes, N., J. Kaufman, and K. Zahringer. "Supply of inputs for disease control." In The economics of soybean disease control. CABI, 2019. http://dx.doi.org/10.1079/9781780648088.0130.

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Conference papers on the topic "Soybean disease"

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Mueller, Daren. "Soybean disease year in review—2015." In Proceedings of the 24th Annual Integrated Crop Management Conference. Iowa State University, Digital Press, 2015. http://dx.doi.org/10.31274/icm-180809-184.

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Chilvers, Martin, Alejandro Rojas, Janette Jacobs, Alison Robertson, and Rashelle Matthiesen-Andersen. "Pythium, seedling disease of soybean and more…." In Proceedings of the 28th Annual Integrated Crop Management Conference. Iowa State University, Digital Press, 2013. http://dx.doi.org/10.31274/icm-180809-274.

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Krishna, Rajashree, and Prema K. V. "Soybean crop disease classification using machine learning techniques." In 2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER). IEEE, 2020. http://dx.doi.org/10.1109/discover50404.2020.9278060.

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Robertson, Alison, Tom Kaspar, Leonor Leandro, Daren Mueller, and Jyotsna Acharya. "Disease risks associated with cover crops and soybean production." In Proceedings of the 28th Annual Integrated Crop Management Conference. Iowa State University, Digital Press, 2017. http://dx.doi.org/10.31274/icm-180809-283.

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Xingchun Chen and R. Roeber. "Monitoring soybean disease and insect infection patterns in Nebraska." In 2005 IEEE International Conference on Granular Computing. IEEE, 2005. http://dx.doi.org/10.1109/grc.2005.1547250.

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AhilaPriyadharshini, R., S. Arivazhagan, E. Cathline Francina, and S. Supriya. "Leaf Disease Detection And Classification System For Soybean Culture." In 2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT). IEEE, 2019. http://dx.doi.org/10.1109/iciict1.2019.8741482.

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Da Silva, Gercina, Alessandro Ferreira, Denilson Guilherme, José Fernando Grigolli, Vanessa Weber, and Hemerson Pistori. "Recognition of Soybean Diseases Using Machine Learning Techniques Based on Segmentation of Images Captured By UAVs." In Workshop de Visão Computacional. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/wvc.2020.13476.

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Soybean is an important product for the Brazilian economy, however it has factors that can limit its productive income, like the diseases that are generally difficult to control. Thus, this article aims to use a computer program to recognize diseases in images obtained by a UAV in a soybean plantation. The program is based on computer vision and machine learning, using the SLIC algorithm to segment the images into superpixels. To achieve the objective, after the segmentation of the images, an image dataset was created with the following classes: mildew, target spot, Asian rust, soil, straw and
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Endah, Sukmawati Nur, Eko Adi Sarwoko, Priyo Sidik Sasongko, Roihan Auliya Ulfattah, and Saesarinda Rahmike Juwita. "Attribute Selection for Detection of Soybean Plant Disease and Pests." In 2019 3rd International Conference on Informatics and Computational Sciences (ICICoS). IEEE, 2019. http://dx.doi.org/10.1109/icicos48119.2019.8982483.

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Andreis, José Henrique, Felipe Borella, Willingthon Pavan, et al. "Mobile Application for Asian Soybean Rust Tracking in Brazil." In VII Workshop de Computação Aplicada à Gestão do Meio Ambiente e Recursos Naturais. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/wcama.2016.9550.

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Brazil is the second-largest soybean producer. With the arrival of Asian soybean rust in the Western Hemisphere in 2001, a considerable amount of resources has been allocated to understand and control this important yield-limiting disease. Due its rapidly dissemination, in 2004, the federal government led an effort to create the Asian soybean rust consortium, with the main goal of coordinating research activities involving public and private sector. This paper describes the development of a mobile application, designed to support the Asian Soybean Rust Consortium to monitor, in time and space,
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Fang, Wang, Liu Yue, and Cui Dandan. "Classification system study of soybean leaf disease based on deep learning." In 2020 International Conference on Internet of Things and Intelligent Applications (ITIA). IEEE, 2020. http://dx.doi.org/10.1109/itia50152.2020.9312252.

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Reports on the topic "Soybean disease"

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Bradley, Carl, Tom Allen, Martin Chilvers, et al. Soybean Disease Loss Estimates From the. Crop Protection Netework, 2017. http://dx.doi.org/10.31274/cpn-20190620-041.

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Mueller, Daren S., Nathan R. Bestor, and Kenneth T. Pecinovsky. Effect of Fungicides and Plant Populations on Soybean Disease and Yield. Iowa State University, Digital Repository, 2012. http://dx.doi.org/10.31274/farmprogressreports-180814-917.

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Mueller, Daren S., Nathan R. Bestor, and Kenneth T. Pecinovsky. Effect of Fungicides and Plant Populations on Soybean Disease and Yield. Iowa State University, Digital Repository, 2011. http://dx.doi.org/10.31274/farmprogressreports-180814-2131.

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Mueller, Daren S., and Kenneth T. Pecinovsky. Effect of Fungicides and Plant Populations on Soybean Disease and Yield. Iowa State University, Digital Repository, 2010. http://dx.doi.org/10.31274/farmprogressreports-180814-380.

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Mueller, Daren S., and Kenneth T. Pecinovsky. Effect of Fungicides and Plant Populations on Soybean Disease and Yield. Iowa State University, Digital Repository, 2009. http://dx.doi.org/10.31274/farmprogressreports-180814-2642.

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Bradley, Carl. Soybean Disease Loss Estimates From the United States and Ontario, Canada — 2017. Crop Protection Netework, 2019. http://dx.doi.org/10.31274/cpn-20190729-001.

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Bradley, Carl, Tom Allen, Albert Tenuta, Kelsey Mehl, and Adam Sisson. Soybean Disease Loss Estimates from the United States and Ontario, Canada — 2018. Crop Protection Netework, 2020. http://dx.doi.org/10.31274/cpn-20200922-0.

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Bradley, Carl. Soybean Disease Loss Estimates From the United States and Ontario, Canada — 2016. Crop Protection Netework, 2019. http://dx.doi.org/10.31274/cpn-20190729-000.

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Bradley, Carl, Tom Allen, Albert Tenuta, Kelsey Mehl, and Adam Sisson. Soybean Disease Loss Estimates From the United States and Ontario, Canada — 2019. Crop Protection Network, 2021. http://dx.doi.org/10.31274/cpn-20210607-1.

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Bradley, Carl, Tom Allen, Albert Tenuta, Kelsey Mehl, and Adam Sisson. Soybean Disease Loss Estimates From the United States and Ontario, Canada — 2020. Crop Protection Network, 2021. http://dx.doi.org/10.31274/cpn-20210607-2.

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